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Related Experiment Videos

Ready! Fire! . . . Aim! An inquiry into laboratory test ordering.

E T Wong, T L Lincoln

    JAMA
    |November 11, 1983
    PubMed
    Summary
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    Informal diagnostic test ordering in hospitals is common and costly. Developing evidence-based algorithms can improve patient care and reduce waste in clinical pathology.

    Area of Science:

    • Clinical Pathology
    • Medical Diagnostics
    • Healthcare Management

    Background:

    • Informal test-ordering protocols are prevalent in teaching hospitals, often stemming from resident practice folklore.
    • These non-physiological routines contribute to increased healthcare costs, resource wastage, and potentially inaccurate diagnostic outcomes.
    • The issue extends beyond medicine, highlighting broader information management challenges.

    Purpose of the Study:

    • To identify the prevalence and impact of informal test-ordering protocols in clinical settings.
    • To advocate for the development and implementation of evidence-based diagnostic testing algorithms.
    • To address the financial and clinical inefficiencies caused by non-standardized testing practices.

    Main Methods:

    • Analysis of common informal test-ordering practices in teaching hospitals.

    Related Experiment Videos

  • Literature review on diagnostic testing algorithms and information management.
  • Conceptual framework development for clinically appropriate testing protocols.

    • Main Results:

    • Informal protocols lack physiological rationale, leading to increased costs and wasted resources.
    • Faulty test ordering can result in unanswered diagnostic questions or misleading results.
    • A need exists for structured, clinically relevant algorithms to guide diagnostic testing.

    Conclusions:

    • Replacing folkloric test-ordering with clinically appropriate algorithms is essential.
    • This shift requires professional attention within the field of clinical pathology.
    • Implementing evidence-based protocols can optimize diagnostic accuracy and resource utilization.